This repository contains a 4-bit quantized GGUF version of Google's Gemma-4 26B model (A4B-IT variant). It is optimized for local inference using tools such as llama.cpp. The model supports instruction following and is suitable for developers who want to run a capable LLM offline with reduced memory requirements.
Gemma 4 26B A4B It Qat Q4 0 sits in PulseGate's Text generation category. It focuses on running a large instruction-tuned Gemma model efficiently on consumer hardware using quantization. Gemma 4 26B A4B It Qat Q4 0 is an open-source project aimed at AI developers. The project is open source (Open Source). Gemma 4 26B A4B It Qat Q4 0 is available on the web, the command line, and API.
It is developed by Google. It competes in a saturated segment with 25 similar projects in PulseGate's index. Key capabilities include quantized model, GGUF format, and instruction tuned.
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